Paper: arXiv 2411.05807

Abstract

Despite many attempts to make optimization-based portfolio construction in the spirit of Markowitz robust and approachable, it is far from universally adopted. Meanwhile, the collection of more heuristic divide-and-conquer approaches was revitalized by Lopez de Prado where Hierarchical Risk Parity (HRP) was introduced. This paper reveals the hidden connection between these seemingly disparate approaches.

Complexity vs Empirical Score

  • Math Complexity: 7.5/10
  • Empirical Rigor: 3.0/10
  • Quadrant: Lab Rats — theoretically deep, empirically untested

Why this score: The paper presents a novel mathematical unification between Hierarchical Risk Parity and Minimum Variance Portfolios using Schur complements and matrix algebra, requiring advanced linear algebra to follow. However, the excerpt lacks empirical backtests, datasets, or statistical performance metrics, focusing instead on theoretical connections and critique of existing methods.

Research Flowchart

  flowchart TD
  R["Research Goal:<br/>Unify HRP & MinVar Portfolios<br/>via Schur Complement"] --> D["Input: Asset Covariance Matrix Σ"]
  D --> S["Process 1: Recursive Bisection<br/>Hierarchical Clustering"]
  D --> M["Process 2: Minimum Variance<br/>Optimization"]
  S --> C["Computation:<br/>Schur Complementary Allocation<br/>Transforms HRP into MinVar"]
  M --> C
  C --> F["Key Finding 1:<br/>HRP is a specific case of MinVar<br/>with recursive conditioning"]
  C --> G["Key Finding 2:<br/>Provides robust estimator for<br/>inverse covariance matrix"]
  C --> H["Outcome:<br/>Unified framework bridging<br/>heuristic & optimization methods"]

Cited References (393)

  1. Microprediction: Building an Open AI Network (2022)
  2. Precise: A Python Package for Streaming Covariance Prediction (2022) — link
  3. Timemachines: A Python Package for Creating and Assessing Autonomous Time-Series Prediction Algorithms (2021) — link
  4. The Intelligent Investor (1949)
  5. The Markowitz optimization enigma: is ‘optimized’ optimal? (1989)
  6. Estimation for Markowitz efficient portfolios (1980)
  7. Regularized Tyler’s Scatter Estimator: Existence, Uniqueness, and Algorithms (2023) — link
  8. A Constrained Hierarchical Risk Parity Algorithm with Cluster-based Capital Allocation (2019) — link
and 385 more
  1. PyPortfolioOpt : Financial portfolio optimization in Python (2021)
  2. Riskfolio-Lib : Portfolio Optimization and Risk Analysis in Python (2020) — link
  3. Scikit-learn: Machine Learning in Python (2011)
  4. Sparse inverse covariance estimation with the graphical lasso (2008)
  5. Improved estimation of the covariance matrix of stock returns with an application to portfolio selection (2003)
  6. Statistical efficiency in the linear combination of forecasts (2001)
  7. Lifetime portfolio selection under uncertainty (1969) — link
  8. Portfolios for Long-Term Investors (2022) — link
  9. Portfolio Optimization Rules beyond the Mean-Variance Approach — → 2305.08530
  10. Technical Note—Operations Research on Football (1971) — link
  11. Fuller, Wayne A. Measurement Error Models . New York: John Wiley \ldots Sons, 1987, xxiii + 440 pp., $ @@‐@@44.95 (1990) — link
  12. ‘Horses for Courses’ in demand forecasting (2014) — link
  13. 50 Years of Data Science (2015)
  14. A brief Review of the ChaLearn AutoML Challenge (2016)
  15. A combinatorial algorithm minimizing submodular functions in strongly polynomial time (2000) — link
  16. A combinatorial strongly polynomial algorithm for minimizing submodular functions (2001) — link
  17. A Comparative Study of Reservoir Computing for Temporal Signal Processing (2014) — link
  18. A Comparison Between Two Models for Predicting Ordering Probabilities in Multiple-Entry Competitions (2006) — link
  19. A Compendium of Conjugate Priors (1997) — link
  20. A Constrained Hierarchical Risk Parity Algorithm with Cluster-based Capital Allocation (2021)
  21. A Critical Analysis of the Innovators Dilemma Why Should New Technologies Cause Great Firms to Fail (2002) — link
  22. A Critical Analysis of the Innovators Dilemma Why Should New Technologies Cause Great Firms to Fail (2002) — link
  23. A faster strongly polynomial time algorithm for submodular function minimization (2009) — link
  24. A FinTech Blueprint for 2015. (2015) — link
  25. A fully homomorphic encryption scheme (2009) — link
  26. A generalized approach to portfolio optimization: Improving performance by constraining portfolio norms (2009) — link
  27. A heuristic method for estimating the relative weight of predictor variables in multiple regression (2000) — link
  28. A method for winning at lotteries (2018) — link
  29. A model explanation system (2016) — link
  30. A model explanation system (2016) — link
  31. A Model of Redlining (1993) — link
  32. A Model of Redlining (1993) — link
  33. A Modified Hierarchical Risk Parity Framework for Portfolio Management (2020) — link
  34. a N Ote on (2005) — link
  35. A neural network based approach to support the Market Making strategies in High-Frequency Trading (2014)
  36. A New Approach to Voter Uncertainty in the Downsian Spatial Model (1981) — link
  37. A new understanding of prediction markets via no-regret learning (2010) — link
  38. A note on a symmetrical set covering problem: The lottery problem (2008) — link
  39. A parimutuel gambling perspective to compare probabilistic seismicity forecasts (2014) — link
  40. A parimutuel gambling perspective to compare probabilistic seismicity forecasts (2014) — link
  41. A Parimutuel Market Microstructure for Contingent Claims (2005) — link
  42. A probability ranking principle for interactive information retrieval (2008) — link
  43. A regime switching approach for hedging tanker shipping freight rates (2015) — link
  44. A regime-switching nelson-siegel term structure model and interest rate forecasts (2013) — link
  45. A review and comparison of strategies for multi-step ahead time series forecasting based on the NN5 forecasting competition (2012) — link
  46. A review of two decades of correlations, hierarchies, networks and clustering in financial markets (2021) — link
  47. A review of unsupervised feature learning and deep learning for time-series modeling (2014) — link
  48. A Simple Combinatorial Algorithm for Submodular Function Minimization (2013) — link
  49. A simple regime switching term structure model (2000) — link
  50. A simple regime switching term structure model (2000) — link
  51. A simple regime switching term structure model (2000) — link
  52. A simulation model to analyze the impact of distance and direction on golf scores (2009) — link
  53. A Simulation Model to Analyze the Impact of Golf Skills and a Scenario-based Approach to Options Portfolio Optimization (2012)
  54. A Strategy for Ranking Optimization Methods using Multiple Criteria (2016) — link
  55. A study of the NIPS feature selection challenge (2009)
  56. A study of the NIPS feature selection challenge (2009)
  57. A survey of experimental research on contests, all-pay auctions and tournaments (2014) — link
  58. A survey of homomorphic encryption for nonspecialists (2007) — link
  59. A survey on the internet of things security (2013) — link
  60. A Theory of Auctions and Competitive Bidding (2013) — link
  61. A Theory of Policy Expertise (2008) — link
  62. A tighter bound for the echo state property (2006) — link
  63. A well-conditioned estimator for large-dimensional covariance matrices (2004) — link
  64. A yield-factor model of interest rates (1996) — link
  65. A yield-factor model of interest rates (1996) — link
  66. Aaron Swartz’s A Programmable Web: An Unfinished Work (2013) — link
  67. Aaron Swartz’s A Programmable Web: An Unfinished Work (2013) — link
  68. Accuracy of Forecasting: An Empirical Investigation (1979) — link
  69. Advanced putting metrics in golf (2013) — link
  70. Against the gods: The remarkable story of risk (1998) — link
  71. Against the gods: The remarkable story of risk (1998) — link
  72. Aggregation and Linearity in the Provision of Intertemporal Incentives (1987) — link
  73. Air pollution and stock returns in the US (2011) — link
  74. Air pollution and stock returns: Evidence from a natural experiment (2016) — link
  75. Air pollution, stock returns, and trading activities in China (2018) — link
  76. All that Glitters Is Not Gold: Comparing Backtest and Out-of-Sample Performance on a Large Cohort of Trading Algorithms (2016) — link
  77. All that Glitters Is Not Gold: Comparing Backtest and Out-of-Sample Performance on a Large Cohort of Trading Algorithms (2016) — link
  78. All that Glitters Is Not Gold: Comparing Backtest and Out-of-Sample Performance on a Large Cohort of Trading Algorithms (2016) — link
  79. AlphaD3M: Machine Learning Pipeline Synthesis (2018)
  80. American Apartheid: Segregation and the Making of the Underclass. (1993) — link
  81. American Apartheid: Segregation and the Making of the Underclass. (1993) — link
  82. Amygdala Sensitivity to Race Is Not Present in Childhood but Emerges over Adolescence (2013) — link
  83. Amygdala Sensitivity to Race Is Not Present in Childhood but Emerges over Adolescence (2013) — link
  84. Amygdala Sensitivity to Race Is Not Present in Childhood but Emerges over Adolescence (2013) — link
  85. An accessible implementation of interest rate models with Markov-switching (2012) — link
  86. An Accurate Online Prediction Model for Kiln Head Temperature Chaotic Time Series (2020) — link
  87. An Analysis of Transformations (1964) — link
  88. An architecture for a next-generation holistic e-recruiting system (2007) — link
  89. An Empirical Study on Hyperparameter Optimization for Fine-Tuning Pre-trained Language Models (2021) — link
  90. An experimental comparison of click position-bias models (2008) — link
  91. An extension of the pythagorean expectation for association football (2011) — link
  92. An homotopy algorithm for the Lasso with online observations (2008) — link
  93. An Improved power system transient stability prediction model based on mRMR feature selection and WTA ensemble learning (2020) — link
  94. An Introduction to Variable and Feature Selection (2003) — link
  95. An online reactive power-optimization strategy based on load-curve prediction and segmentation (2020) — link
  96. An Out-of-Sample Evaluation of Dynamic Portfolio Strategies (2015) — link
  97. An Overview of the Simultaneous Perturbation Method for Efficient Optimization (1998) — link
  98. Analysis of regression in game theory approach (2001) — link
  99. Anti-Intellectualism in American Life. (1963) — link
  100. Anti-Intellectualism in American Life. (1963) — link
  101. Applying Deep Learning to Enhance Momentum Trading Strategies in Stocks (2013) — link
  102. Approximately optimal bidding policies for repeated first-price auctions (2012) — link
  103. Approximating Priors by Mixtures of Natural Conjugate Priors (1983) — link
  104. Assessing golfer performance on the PGA tour (2012) — link
  105. Assigning probabilities to the outcomes of multi-entry competitions (1973) — link
  106. Assigning probabilities to the outcomes of multi-entry competitions (1973) — link
  107. Asymptotically optimal algorithm for stochastic adwords (2012) — link
  108. Auditing black-box models for indirect influence (2017) — link
  109. Auditing black-box models for indirect influence (2017) — link
  110. Auto-keras: An efficient neural architecture search system (2019) — link
  111. Auto-WEKA (2013) — link
  112. Automated Market Making: Theory and Practice (2012) — link
  113. AutoML Challenge : AutoML Framework Using Random Space Partitioning Optimizer (2016)
  114. Average performance of a class of adaptive algorithms for global optimization (1997) — link
  115. BayesOpt: A Bayesian optimization library for nonlinear optimization, experimental design and bandits (2015)
  116. Benchmark and Survey of Automated Machine Learning Frameworks (2021) — link
  117. Benchmarking NLopt and state-of-the-art algorithms for continuous global optimization via IACOR (2016) — link
  118. Beyond Big Data (2014) — link
  119. Big data: The next frontier for innovation, competition, and productivity (2011) — link
  120. Blockchain Enabled Trustless API Marketplace (2020) — link
  121. Bloomberg Acquires PolarLake & Launches EDM Services (5) — link
  122. Bloomberg Professional (2016) — link
  123. Book Orders for Market Scoring Rules (2003) — link
  124. Brief survey of crowdsourcing for data mining (2014) — link
  125. Building diversified portfolios that outperform out of sample (2016) — link
  126. Building portfolios based on machine learning predictions (2022) — link
  127. Bullshit makes the art grow profounder (2019) — link
  128. Calculating wins over replacement player (WORP) for NHL goaltenders (2012) — link
  129. Can Asset Markets Be Manipulated? A Field Experiment With Racetrack Betting (2002) — link
  130. Can homomorphic encryption be practical? (2011) — link
  131. Can machine learning-based portfolios outperform traditional risk-based portfolios? The need to account for covariance misspecification (2019) — link
  132. Car Drivers Attend to Different Gaze Targets When Negotiating Closed vs. Open Bends (2010) — link
  133. Car Drivers Attend to Different Gaze Targets When Negotiating Closed vs. Open Bends (2010) — link
  134. caret Package (2008) — link
  135. caret Package (2008) — link
  136. Challenges in representation learning: A report on three machine learning contests (2015) — link
  137. Change We Can Believe In? Using Political Science to Predict Policy Change in the Obama Presidency (2009) — link
  138. Choosing the most popular NFL games in a local TV market (2014) — link
  139. Choosing the most popular NFL games in a local TV market (2014) — link
  140. City Data Fusion: Sensor Data Fusion in the Internet of Things (2015) — link
  141. City Data Fusion: Sensor Data Fusion in the Internet of Things (2015) — link
  142. Classification with costly features as a sequential decision-making problem (2020) — link
  143. Classification with costly features using deep reinforcement learning (2020)
  144. Clustering multivariate time-series data (2005) — link
  145. Collective Decisionmaking and Standing Committees: An Informational Rationale for Restrictive Amendment Procedures (1987) — link
  146. Collective Intelligence in Humans : a Literature Review (2012) — link
  147. Combinatorial information market design (2003) — link
  148. Combining Classifiers and Learning Mixture-of-Experts (2012) — link
  149. Combining expert forecasts: Can anything beat the simple average? (2013) — link
  150. Combining expert forecasts: Can anything beat the simple average? (2013) — link
  151. Combining human and machine intelligence in large-scale crowdsourcing (2012)
  152. Combining Probabilistic Load Forecasts (2019) — link
  153. Combining probabilistic load forecasts (2018)
  154. Comment on Identification in the Linear Errors in Variables Model (2006) — link
  155. Comparing the effectiveness of one-and two-step conditional logit models for predicting outcomes in a speculative market (2007)
  156. Comparison of Training Methods for Deep Neural Networks (2015) — link
  157. Comparison of Training Methods for Deep Neural Networks (2015) — link
  158. Compressed sensing (2006) — [link](https://doi.org/Doi 10.1109/Tit.2006.871582)
  159. Compressed sensing (2006) — [link](https://doi.org/Doi 10.1109/Tit.2006.871582)
  160. Conjugate Priors for Exponential Families (1979) — link
  161. Conjugate priors for generalized linear models (2003) — link
  162. Contest design: An experimental investigation (2011) — link
  163. Context aware computing for the internet of things: A survey (2014) — link
  164. Contrasting probabilistic scoring rules (2013) — link
  165. Cost-sensitive parsimonious linear regression (2008) — link
  166. Coupled Generative Adversarial Networks (2016) — link
  167. Courts Are Using AI to Sentence Criminals. That Must Stop Now | WIRED (2017) — link
  168. Courts Are Using AI to Sentence Criminals. That Must Stop Now | WIRED (2017) — link
  169. Covariance Estimation: The GLM and Regularization Perspectives (2011) — link
  170. Creating a successful Internet of Things data marketplace (2016)
  171. Creating a successful Internet of Things data marketplace (2016)
  172. Creating a successful Internet of Things data marketplace (2016)
  173. Credit Card Redlining (2011) — link
  174. Credit Card Redlining (2011) — link
  175. Credit New York Contents 1 Introduction Credit New York (2015)
  176. Credit risk modeling with affine processes (2005) — link
  177. Cross-Cultural Analysis of Students with Exceptional Talent in Mathematical Problem Solving (2008)
  178. Crowd computing: Using competitive dynamics to develop and refine highly predictive models (2013) — link
  179. Crowd computing: Using competitive dynamics to develop and refine highly predictive models (2013) — link
  180. DEAP-Enabling Nimbler Evolutions — link
  181. Decision tree classification with differential privacy: A survey (2019) — link
  182. Decisions 2 .0 : The Power of Collective Intelligence (2009) — link
  183. Decisions 2 .0 : The Power of Collective Intelligence (2009) — link
  184. Decomposing Pythagoras (2017) — link
  185. Deep Residual Learning for Image Recognition (2015) — link
  186. Deep Residual Learning for Image Recognition (2015) — link
  187. Deep Residual Learning for Image Recognition (2016) — link
  188. Deep Residual Learning for Image Recognition (2016) — link
  189. Deterministic global optimization using space-filling curves and multiple estimates of Lipschitz and H " o lder constants (2015) — link
  190. Developing an IoT Smart City framework (2013) — link
  191. Developing and comparing different strategies for combining probabilistic photovoltaic power forecasts in an ensemble method (2019) — link
  192. Differential Privacy under Continual Observation (2020) — link
  193. Digital image steganography: Survey and analysis of current methods (2010) — link
  194. disrupting hedge funds: Quantopian - crowdsourced quant hedge fund (2017) — link
  195. disrupting hedge funds: Quantopian - crowdsourced quant hedge fund (2017) — link
  196. Dlib-ml: A machine learning toolkit (2009)
  197. Does it pay to buy the pot in the Canadian 6/49 Lotto? implications for lottery design (2018) — link
  198. Does the Box-Cox transformation help in forecasting macroeconomic time series? (2013) — link
  199. DPRF: A Differential Privacy Protection Random Forest (2019) — link
  200. Drive for dough. PGA Tour golfers’ tee shot functional accuracy, distance and hole score. (2014) — link
  201. Dueling Network Architectures for Deep Reinforcement Learning Hado van Hasselt (2016)
  202. Early Experience Shapes Amygdala Sensitivity to Race: An International Adoption Design (2013) — link
  203. Early Experience Shapes Amygdala Sensitivity to Race: An International Adoption Design (2013) — link
  204. Early Experience Shapes Amygdala Sensitivity to Race: An International Adoption Design (2013) — link
  205. eBay in the Economic Literature: Analysis of an Auction Marketplace (2010) — link
  206. Effective Choice in the Prisoner’s Dilemma (1980) — link
  207. Effective Search in Rugged Performance Landscapes: A Review and Outlook (2019) — link
  208. Efficient and Robust Automated Machine Learning (2015) — link
  209. Efficient Capital Markets - A Review of Theory and Empirical Work.pdf (1970) — link
  210. Efficient Capital Markets-A Review of Theory and Empirical Work (1970) — link
  211. Efficient Capital Markets: II (1991) — link
  212. Efficient Capital Markets: II (1991) — link
  213. Efficient global optimization using SPSA (1999) — link
  214. Efficient interval scoring rules (2009) — link
  215. Elevator Group Control Using Multiple Reinforcement Learning Agents (1998) — link
  216. Elicitation of personal probabilities and expectations (1971) — link
  217. Eliciting beliefs: Proper scoring rules, incentives, stakes and hedging (2013) — link
  218. Ensemble Learning (2012) — link
  219. Ensemble learning for data stream analysis: A survey (2017) — link
  220. Equilibria existence and characterization in auctions: Achievements and open questions (2012) — link
  221. Equilibrium In Copula Models of First Price Auctions (2002) — link
  222. Estimating the Probabilities of the Outcomes of a Horse Race (Alternatives to the Harville Formulas) (2010) — link
  223. Estimation of Theory-Implied Correlation Matrices (2019) — link
  224. Evaluation of a tree-based pipeline optimization tool for automating data science (2016) — link
  225. Evidence for training the ability to read microexpressions of emotion (2011) — link
  226. Exchange rate movements and stock market returns in a regime-switching environment: Evidence for BRICS countries (2014) — link
  227. ExOpaque: A Framework to Explain Opaque Machine Learning Models Using Inductive Logic Programming (2007) — link
  228. ExOpaque: A Framework to Explain Opaque Machine Learning Models Using Inductive Logic Programming (2007) — link
  229. Expectiles and M-quantiles are quantiles (1994) — link
  230. Expectiles and M-quantiles are quantiles (1994) — link
  231. Explainable AI: Beware of Inmates Running the Asylum (2017) — [link](http://home.earthlink.net/~dwaha/research/meetings/ijcai17-xai/6. (Miller+ XAI-17 extended) Explainable AI - Beware of Inmates Running the Asylum.pdf)
  232. Explaining the Favorite-Long Shot Bias: Is it Risk-Love or Misperceptions? (2010)
  233. Explaining the Favorite-Long Shot Bias: Is it Risk-Love or Misperceptions? (2010)
  234. Explanation and Justification in Machine Learning : A Survey (2017)
  235. Explanation and Justification in Machine Learning : A Survey (2017)
  236. Fast online object tracking and segmentation: A unifying approach (2019) — link
  237. Feature Extraction, Foundations and Applications: An introduction to feature extraction (2006) — link
  238. Feature Extraction, Foundations and Applications: An introduction to feature extraction (2006) — link
  239. Federated learning of predictive models from federated Electronic Health Records (2018) — link
  240. Fifty Years of Management Science (2004) — link
  241. Financial Portfolio Management and Optimization to Maximize Returns Using a Combination of HRP and Sentiment Analysis (2022) — link
  242. Fintech (2016) — link
  243. Fintech (2016)
  244. Fionancial Regulation in FinTech (2015)
  245. Foresight: Its Logical Laws, Its Subjective Sources (1992) — link
  246. FractalNet: Ultra-Deep Neural Networks without Residuals (2016) — link
  247. FractalNet: Ultra-Deep Neural Networks without Residuals (2016) — link
  248. GAMA: Genetic Automated Machine learning Assistant (2019) — link
  249. Generalized least squares estimation of the functional multivariate linear errors-in-variables model (1986) — link
  250. Generating visual explanations (2016) — link
  251. Generating visual explanations (2016) — link
  252. Generative Adversarial Nets (2014) — link
  253. Generative Adversarial Networks (2014) — link
  254. Generative Moment Matching Networks (2015) — link
  255. Genetic programming: On the programming of computers by means of natural selection (1992) — link
  256. Global optimization using space-filling curves and measure-preserving transformations (2011) — link
  257. Global optimization with space-filling curves (1999) — link
  258. GMAC: A Matlab toolbox for spectral Granger causality analysis of fMRI data (2012) — link
  259. GOSH: derivative-free global optimization using multi-dimensional space-filling curves (2018) — link
  260. GP-BayesFilters: Bayesian filtering using Gaussian process prediction and observation models (2008) — link
  261. Greedy function approximation: A gradient boosting machine (2001) — [link](https://doi.org/DOI 10.1214/aos/1013203451)
  262. Greedy function approximation: A gradient boosting machine (2001) — [link](https://doi.org/DOI 10.1214/aos/1013203451)
  263. Groups, the Media, Agency Waiting Costs, and FDA Drug Approval (2002) — link
  264. Harnessing crowds : Mapping the genome of collective intelligence (2009) — link
  265. Heating Load Forecasting for Combined Heat and Power Plants Via Strand-Based LSTM (2020) — link
  266. Herding Dynamic Weights for Partially Observed Random Field Models (2009)
  267. Herding Dynamic Weights for Partially Observed Random Field Models (2009)
  268. Herding dynamical weights to learn (2009) — link
  269. Herding dynamical weights to learn (2009) — link
  270. Heuristic algorithm for solving the integer programming of the lottery problem (2012) — link
  271. Hierarchical Clustering-Based Asset Allocation (2017) — link
  272. Hierarchical Portfolio Construction: Dispelling Markowitz’s Curse (2016) — link
  273. Hierarchical Risk Parity and Minimum Variance Portfolio Design on NIFTY 50 Stocks (2021) — link
  274. Hierarchical Risk Parity as an Alternative to Conventional Methods of Portfolio Optimization: (A Study of Tehran Stock Exchange) (2021) — link
  275. Hierarchical Risk Parity: Accounting for Tail Dependencies in Multi-Asset Multi-Factor Allocations (2020) — link
  276. High Frequency Market Making (2012) — link
  277. High frequency market microstructure (2015) — link
  278. High-frequency market-making with inventory constraints and directional bets (2012) — link
  279. High-frequency trading in a limit order book (2008) — link
  280. History of the Efficient Market Hypothesis (2011) — link
  281. Homogenization and ergodic theory (1979) — link
  282. Homogenization of Differential Operators and Integral Functionals (1994) — link
  283. Hour-ahead wind power and speed forecasting using simultaneous perturbation stochastic approximation (SPSA) algorithm and neural network with fuzzy inputs (2010) — link
  284. Hour-ahead wind power and speed forecasting using simultaneous perturbation stochastic approximation (SPSA) algorithm and neural network with fuzzy inputs (2010) — link
  285. How Human-Computer ‘Superminds’ Are Redefining the Future of Work (2018)
  286. Hyperopt-Sklearn (2019) — link
  287. Hyperopt-Sklearn: Automatic Hyperparameter Configuration for Scikit-Learn (2014) — link
  288. Identification of maximal affine term structure models (2008) — link
  289. Improved rates for the stochastic continuum-armed bandit problem (2007) — link
  290. Improved rates for the stochastic continuum-armed bandit problem (2007) — link
  291. Improving Elevator Performance Using Reinforcement Learning (1996)
  292. Improving the flexibility and robustness of model-based derivative-free optimization solvers (2019) — link
  293. In poor health: Supermarket redlining and urban nutrition (2001) — link
  294. In poor health: Supermarket redlining and urban nutrition (2001) — link
  295. In poor health: Supermarket redlining and urban nutrition (2001) — link
  296. Individual Choice Behavior: A Theoretical Analysis. (1960) — link
  297. Individual Choice Behavior: A Theoretical Analysis. (1960) — link
  298. Influence functions of the Spearman and Kendall correlation measures (2010) — link
  299. Institutional racism and pregnancy health: Using Home Mortgage Disclosure Act data to develop an index for mortgage discrimination at the community level (2011) — link
  300. International Association of Scientific Innovation and Research (IASIR) — link
  301. Internet of things in industries: A survey (2014) — link
  302. Inverse probability weighting (2016) — link
  303. Inverse probability weighting (2016) — link
  304. Is tiger woods loss averse? Persistent bias in the face of experience, competition, and high stakes (2011) — link
  305. Is tit-for-tat the answer? on the conclusions drawn from axelrod’s tournaments (2015) — link
  306. KDD cup 1999 dataset (1999)
  307. Kernel-Based Aggregating Learning System for Online Portfolio Optimization (2020) — link
  308. Large-scale dynamic optimization using teams of reinforcement learning agents (1996)
  309. Last-minute bidding and the rules for ending second-price auctions: Evidence from eBay and Amazon auctions on the internet (2002) — link
  310. Leakage in data mining: Formulation, detection, and avoidance (2012) — link
  311. Leakage in data mining: Formulation, detection, and avoidance (2012) — link
  312. Leakage in Data Mining: Formulation, Detection, and Avoidance (2011) — link
  313. Learning a sparse codebook of facial and body microexpressions for emotion recognition (2013) — link
  314. Learning Comprehensible Descriptions of Multivariate Time Series (1999) — link
  315. Learning Temporal Causal Graphs for Relational Time-Series Analysis (2010) — link
  316. Learning to Predict by the Methods of Temporal Differences (1988) — link
  317. Learning to Rank: From Pairwise Approach to Listwise Approach (2007) — link
  318. Learning to understand image content: Machine learning versus machine teaching alternative (2007) — link
  319. Learning to understand image content: Machine learning versus machine teaching alternative (2007) — link
  320. Learning with rejection (2016) — link
  321. Learning with rejection (2016) — link
  322. Lessons from the 1979-1982 Monetary Policy Experiment (1984) — link
  323. Limited information estimation and testing of Thurstonian models for preference data (2002) — link
  324. Linear theory for control of nonlinear stochastic systems (2005) — link
  325. Link prediction by de-anonymization: How We Won the Kaggle Social Network Challenge (2011) — link
  326. Lipschitzian optimization without the Lipschitz constant (1993) — link
  327. Local differential privacy for evolving data (2020) — link
  328. Local online kernel ridge regression for forecasting of urban travel times (2014) — link
  329. Location Prediction Models using Data Mining and Machine Learning (2020) — link
  330. Logarithmic market scoring rules for modular combinatorial information aggregation (2008) — link
  331. Logarithmic market scoring rules for modular combinatorial information aggregation (2002) — link
  332. Logarithmic market scoring rules for modular combinatorial information aggregation (2002) — link
  333. LOGARITHMIC MARKETS CORING RULES FOR MODULAR COMBINATORIAL INFORMATION AGGREGATION (2012) — link
  334. Machine Teaching: An Inverse Problem to Machine Learning and an Approach Toward Optimal Education (2015) — link
  335. Machine Teaching: An Inverse Problem to Machine Learning and an Approach Toward Optimal Education (2015) — link
  336. Making a Science of Model Search: Hyperparameter Optimization in Hundreds of Dimensions for Vision Architectures (2013) — link
  337. Making and evaluating point forecasts (2011) — link
  338. Market Efficiency in Person-to-Person Betting on Golf Tournaments — link
  339. Market Making and Mean Reversion (2011) — link
  340. Markowitz versus Michaud: portfolio optimization strategies reconsidered (2015) — link
  341. Matching Pursuits With Time-Frequency Dictionaries (1993) — link
  342. Matrix Evolutions: Synthetic Correlations and Explainable Machine Learning for Constructing Robust Investment Portfolios (2021) — link
  343. May the Best Analyst Win (2011) — link
  344. May the best analyst win. (2011) — link
  345. Measurement Error in Nonlinear Models: A Modern Perspective (2009) — link
  346. Measurement error: Models, methods, and applications (2010) — link
  347. Meeting the Fintech Challenge (2016) — link
  348. Methods for Improving Bayesian Optimization for AutoML (2015)
  349. Middleware for internet of things: A survey (2016) — link
  350. Minimum complexity echo state network (2011) — link
  351. Minimum Scoring Rule Inference (2016) — link
  352. Modeling Constraints in Putting : The ISOPAR Method (2011)
  353. Modeling the conditional distribution of interest rates as a regime-switching process (1996) — link
  354. Modelling rankings in R: the PlackettLuce package (2020) — link
  355. Models for distributions on permutations (1990) — link
  356. More Than Privacy: Applying Differential Privacy in Key Areas of Artificial Intelligence (2020) — link
  357. Multi-sensor optimal information fusion Kalman filter (2004) — link
  358. Multi-step prediction of time series with random missing data (2014) — link
  359. Multiperiod auction for a pool-based electricity market (2002) — link
  360. Multisensor data fusion: A review of the state-of-the-art (2013) — link
  361. Multisensor data fusion: A review of the state-of-the-art (2013) — link
  362. Multivariate Time Series Classification with Temporal Abstractions (2009) — link
  363. Nature of the firm (1937)
  364. Nevergrad (2021) — link
  365. New Insights and Faster Computations for the Graphical Lasso (2011) — link
  366. OBoe: Collaborative filtering for automl model selection (2019) — link
  367. Of quantiles and expectiles: Consistent scoring functions, Choquet representations and forecast rankings (2016) — link
  368. Of quantiles and expectiles: Consistent scoring functions, Choquet representations and forecast rankings (2016) — link
  369. On a Square-Root Transformation of the Odds Ratio for a Common Outcome (2017) — link
  370. On finding predictors for arbitrary families of processes (2010)
  371. On the LASSO and its Dual (2000) — link
  372. On the Statistical and Practical Limitations of Thurstonian IRT Models (2019) — link
  373. Online learning for group lasso (2010)
  374. Online learning for time series prediction (2013)
  375. Online learning with costly features and labels (2013)
  376. Online prediction of time series with assumed behavior (2020) — link
  377. Online time series prediction with missing data (2015)
  378. Optimal approximate conversions of odds ratios and hazard ratios to risk ratios (2020) — link
  379. Optimal contest design, closeness and the contest success function (2006) — link
  380. Optimal control (2000) — link
  381. Optimal copula transport for clustering multivariate time series (2016) — link
  382. Hierarchical Clustering Based Asset Allocation (2016) — link
  383. The Hierarchical Equal Risk Contribution Portfolio (2018) — link
  384. Portfolio Selection, Journal of Finance (1952)
  385. Review seriation and matrix reordering methods: An historical overview (2010) — link

1 of 393 cited works are in the corpus; resolved via arXiv source bundles, Semantic Scholar and OpenAlex. Corpus-wide: 2518 linked papers.